Tidy data (This is an informal and code heavy version of the full tidy data paper. Please refer to that for more details.) Data tidying It is often said that 80% of data analysis is spent on the cleaning and preparing data. And it’s not just a first step, but it must be repeated many times over the course of analysis as new problems come to light or new data is collected. To get a handle on the pr